Goto

Collaborating Authors

 attention deficit hyperactivity disorder


The Validity of a Machine Learning-Based Video Game in the Objective Screening of Attention Deficit Hyperactivity Disorder in Children Aged 5 to 12 Years

Zakani, Zeinab, Moradi, Hadi, Ghasemzadeh, Sogand, Riazi, Maryam, Mortazavi, Fatemeh

arXiv.org Artificial Intelligence

This research was conducted with financial support from the Javaneh Program of the Ministry of Science, Research, and Technology of the Islamic Republic of Iran, and the Cognitive Sciences and Technologies Council of the Islamic Republic of Iran. Correspondence concerning this article should be addressed to Hadi Moradi, Department of Robotics and Artificial Intelligence, University of Tehran, Tehran, Iran. Abstract Objective: Early identification of ADHD is necessary to provide the opportunity for timely treatment. However, screening the symptoms of ADHD on a large scale is not easy. This study aimed to validate a video game (FishFinder) for the screening of ADHD using objective measurement of the core symptoms of this disorder. Method: The FishFinder measures attention and impulsivity through in-game performance and evaluates the child's hyperactivity using smartphone motion sensors. This game was tested on 26 children with ADHD and 26 healthy children aged 5 to 12 years. A Support Vector Machine was employed to detect children with ADHD. Conclusions: The FishFinder demonstrated a strong ability to identify ADHD in children. So, this game can be used as an affordable, accessible, and enjoyable method for the objective screening of ADHD. The Validity of a Machine Learning-Based Video Game in the Objective Screening of Attention Deficit Hyperactivity Disorder in Children Aged 5 to 12 Years Attention Deficit Hyperactivity Disorder (ADHD) is one of the most common childhood disorders with a prevalence of about 7.2% (Thomas et al., 2015).



First implant to treat depression is REVEALED: New brain chip set to rival Elon Musk's Nueralink

Daily Mail - Science & tech

While Elon Musk's Neuralink expects to begin human trials in six months, a neurotech company unveiled a device that treats depression and is now in the skull of the first patient. Inner Cosmos's'digital pill' includes two parts: An electrode that sits under the skin of the scalp and the'prescription pod' that snaps onto the users' hair to power the device. The implant sends tiny electrical pulses to the brain region affected by depression - the left dorsolateral prefrontal cortex - once daily for 15 minutes. And the external device does not need to be on the head when treatment is not being administered. The trial patient from St Louise, Missouri, is scheduled to test Inner Cosmos innovation for one year, and the company has another human trial set to start next month.


Controversy erupts over non-consensual AI mental health experiment

#artificialintelligence

On Friday, Koko co-founder Rob Morris announced on Twitter that his company ran an experiment to provide AI-written mental health counseling for 4,000 people without informing them first, The Verge reports. Critics have called the experiment deeply unethical because Koko did not obtain informed consent from people seeking counseling. Koko is a nonprofit mental health platform that connects teens and adults who need mental health help to volunteers through messaging apps like Telegram and Discord. On Discord, users sign into the Koko Cares server and send direct messages to a Koko bot that asks several multiple-choice questions (e.g., "What's the darkest thought you have about this?"). It then shares a person's concerns--written as a few sentences of text--anonymously with someone else on the server who can reply anonymously with a short message of their own.


How far have we come with Zero Shot Learning part1(Machine Learning + NLP)

#artificialintelligence

Abstract: dentifying suicidality including suicidal ideation, attempts, and risk factors in electronic health record data in clinical notes is difficult. A major difficulty is the lack of training samples given the small number of true positive instances among the increasingly large number of patients being screened. This paper describes a novel methodology that identifies suicidality in clinical notes by addressing this data sparsity issue through zero-shot learning. U.S. Veterans Affairs clinical notes served as data. The training dataset label was determined using diagnostic codes of suicide attempt and self-harm.


Getting Your Head Around Artificial Intelligence

#artificialintelligence

The human brain is the body's very own supercomputer. It uses approximately 100 billion neural connections and is capable of processing 11 million bits of information each second. Neurotechnology is a rapidly developing field of technology that is attempting to harness that powerful and complex brain power. With that growth in "mind control" comes a narrowing of the border between humans and machines. Neurotechnology refers to any technology that provides greater insight into, or control over, the activity of the brain or nervous system.


SEVENPOINTONE Awarded Innovation Honoree at CES 2023 - Startup World Tech

#artificialintelligence

On November 16 2022, SEVENPOINTONE announced that it would receive the title of Innovation Awards Honoree at CES 2023. The award was presented to them for "AlzWIN", an AI-powered service for the early detection of dementia and other cognitive impairments, that is simple to apply and quick to diagnose. CES is the one of the largest tech events in the world, where innovators come together to showcase their services, many of which have traveled from across the world to attend. In Las Vegas USA, they can meet with prospective business partners, exchange ideas and enjoy the presentations. AlzWIN recognizes the fluency of the users speech, as well as the semantic memory within two minutes of the analysis.


Suicide Rate on Raise! Artificial Intelligence Gives Hope

#artificialintelligence

With technological advancements and digital transformation, the world has been achieving highs for the past few years. But everything comes at a price. Most people nowadays are facing some form of mental disorders leading to suicides. As per the report by the World Health Organisation (WHO), nearly 8 lakh people die due to suicide each year worldwide, which indicates one death every 40 seconds. Suicide is a global phenomenon, and 79% of suicides occurred in low and middle-income countries.


Best of CES 2023: Electric skates, pet tech and AI for birds - ABC News

#artificialintelligence

Tech companies of all sizes are showing off their latest products at CES, formerly known as the Consumer Electronics show. The show is getting back to normal after going completely virtual in 2021 and seeing a significant drop in 2022 attendance because of the pandemic. You might see the next big thing or something that will never make it past the prototype stage. On Tuesday night, the show kicked off with media previews from just some of the 3,000 companies signed up to attend. Bird Buddy showed off a smart bird feeder that takes snapshots of feathered friends as they fly in to eat some treats.


Exploring the Role of Natural Language Processing in Enhancing ESG Practices and Assessing Mental Illness

#artificialintelligence

Artificial intelligence (AI) is the field of study focused on creating intelligent machines. Within AI, machine learning (ML) is a subfield that focuses on the ability of machines to learn and adapt based on data input, without requiring explicit programming. In recent years, there has been a growing interest in applying AI to various industries and sectors, as it has the ability to process and analyze large amounts of data quickly and accurately. Following up on my article on AI for Social good- Part 1, I decided to write a part 2. This article will discuss mainly ESG and mental illness to explore the role of Natural Language Processing in Enhancing ESG Practices and Assessing Mental Illness. One area where AI can be particularly impactful is in the field of environmental, social, and governance (ESG) [1] initiatives.